Gifas Issat.com
Aerospace Education Catalogue

Master Automatique Robotique - parcours Industrie 4.0

  • Organisation: Ecole Universitaire de Physique et d’Ingénierie – Université Clermont Auvergne
    (Université Clermont Auvergne)
  • Type of Course: Initial education - Life-long learning - Sandwich/Apprenticeship training
  • Language(s): French
  • Place: Clermont Ferrand for M1 & Issoire for M2 (French Regions: Auvergne-Rhône-Alpes)
  • Prepared diploma/grade/title: Master or DNM: French National Master Degree
  • Level of entry: French Baccalaureat + 3
  • VAE (Validation of Acquired Experiences): Yes
  • This training is included in RNCP / RS

Course Details

Objectives: This Master addresses automated systems, deployed in industry or innovative robotic concepts, covering the entire multidisciplinary spectrum Automatics - Computing - Artificial Intelligence - Electronics - Mechanics.
The training offers a common Master 1 year presenting a base of scientific and technical skills in all the disciplines that contribute to automated systems and robotics. The Industry 4.0 course in M2, offered exclusively on a work-study basis (apprenticeship contract or professionalization contract), addresses the field of connected automated systems and the use of data (Big Data) to optimize their operation.

Intended for: Entry into M1:
• Holders of a national diploma conferring the degree of License in a field of training compatible with that of the Master, that is to say a multidisciplinary course having addressed, even if at least, the fields of Electrical Engineering - Engineering Computer Science - Mechanical Engineering.
• Holders of a Professional License in a field of training compatible with that of the Master
• Foreign students holding a diploma equivalent to a License in a field of training compatible with that of training.
Entry into M2:
• Students who have completed a 1st year of a national diploma conferring the degree of Master or a second year in engineering, in a clearly identified field "Automated systems" - "Robotics".
• Foreign students holding a diploma at least equivalent to a 1st year of a Master's degree, with the same requirement for the field of study.

Degree Level (EU) : 7 - (EQC level or equivalent)

Acquired skills during the training : multidisciplinary training (Automation - IT - Artificial intelligence - Electronics - Mechanics) to understand and be able to manage the different facets of an integrated project.

The skills transmitted aim to:
• Master the scientific disciplines used in the field of Industry 4.0: automatic (regulation, automation, robotics, ...) - IT (programming, database, networks, IT security ...) - decision support ( statistics, optimization, learning, ...)
• Know how to use the hardware and software implemented for Industry 4.0 (ControlExpert, TIA Portal, Anaconda, TensorFlow, PyTorch, BrainCube, NodeRed, Cisco tools, Oracle, Renesas, connected objects - IoT, ...)
• Conduct a digital transformation project to optimize the performance of an industrial process by leading a multidisciplinary team (automation specialists, IT specialists, data scientists) and by coordinating both the material aspects (PLCs, sensors, connected objects, etc.) and software (databases, cloud computing, machine learning, ...)

Targeted careers : Digital transformation project manager, Maintenance engineer for industrial digital systems, Production management engineer, Computer studies and development engineer, Methods-industrialization engineer, Quality and maintenance manager.

Duration and terms: • 2 ans pour une entrée en M1.
• 4 à 5 mois de stage en Master 1
• L'année Master 2 parcours "Industrie 4.0" est accessible uniquement en contrat de professionnalisation ou en contrat d'apprentissage (enregistré auprès du CFA FormaSup Auvergne).
Le rythme de la formation est :
• alterné (2-3 semaines à l'université, puis 2-3 semaines en entreprise) de septembre à mars,
• puis en entreprise à partir d'avril.

Dedicated web site: https://www.uca.fr/formation/nos-formations/par-ufr-ecoles-et-iut/institut-des-sciences/ecole-universitaire-de-physique-et-dingenierie/master/master-automatique-robotique

Disciplines

  • Engineering Sciences
  • System Engineering, Programme Management, Production

Topics

  • 10 - Control Systems, Robotics, Guidance and Control, Autonomous Systems
  • 11 - Computer Science, Applied Mathematics, Modelling, Optimisation, Digital and Data Sciences, Big Data, Cryptography, Cybersecurity, Artificial Intelligence
  • 17 - Project Management, Production, Industrialization, Factory of the Future, Integration, Supply Chain, Maintenance, Recycling